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Shelf Life
Books by the ASU community

Browse selections written or edited by Arizona State University faculty, staff, alumni and students — or search for specific genres or keywords. Happy reading!



Replication in the Long Nineteenth Century book cover
Re-makings and Reproductions
Edited by Julie Codell, Linda Hughes

"Replication in the Long Nineteenth Century" is a groundbreaking study of re-makings and reproductions across art, literature, the press, ...



Art as Social Action book cover
Introduction to the Principles and Practices of Teaching Social Practice Art
Edited by Gregory Sholette, Chloë Bass, Social Practice Queens

"Art as Social Action" is both a general introduction to and an illustrated, practical textbook for the field of social practice, an art medium ...



James Rush

The 11 countries of Southeast Asia are diverse in every way, from the ethnicities and religions of their residents to their political ...



Cover of Meet behind Mars by Renee Simms
Stories
Renee Simms

In many of her stories, Simms exposes her own interest in issues concerning time and space. For example, in "Rebel Airplanes," an L.A. engineer ...



Faking the News, edited by ASU alum Ryan Skinnell
What Rhetoric Can Teach Us About Donald J. Trump
Edited by Ryan Skinnell

Donald J. Trump's speaking and writing invite passionate reactions — maybe he’s a bluecollar, billionaire hero who speaks the language of the ...



A Festschrift in Honor of Zhang Guangda on his Eighty-fifth Birthday
Edited by Huaiyu Chen, Xinjiang Rong

Drawing upon numerous manuscripts from China and Central Asia, the articles presented in this volume by leading scholars in the field ...



Cover of Ghost Boys by Jewell Parker Rhodes
Jewell Parker Rhodes

A heartbreaking and powerful story about a black boy killed by a police officer, drawing connections through history, from award-winning author ...



Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be ...

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